WO2022237506A1

WO2022237506A1 - Method, apparatus, and device for monitoring online diagnosis service, and storage medium

Info

Publication number: WO2022237506A1
Application number: PCT/CN2022/088785
Authority: WO
Inventors: 王俊
Original assignee: 康键信息技术（深圳）有限公司
Priority date: 2021-05-12
Filing date: 2022-04-24
Publication date: 2022-11-17
Also published as: CN113222408A

Abstract

The present application relates to the technical field of information security, is applied to the field of smart healthcare, and discloses a method, apparatus, and device for monitoring an online diagnosis service, and a storage medium, which are used for increasing the efficiency of online diagnosis and the efficiency of monitoring treatment. The method for monitoring an online diagnosis service comprises: according to the data source type, the data source address and a cleaning rule, sequentially performing data migration, data cleaning and data aggregation processing on a data source, and obtaining an online diagnosis monitoring index data set; according to an early warning rule, performing index verification on the online diagnosis monitoring index data set, and, by means of a preset message queue and according to a sending rule, consuming warning information; and according to the monitoring index type, performing data encapsulation combination on the online diagnosis monitoring index data set, obtaining online diagnosis index view data, and, by means of a terminal, performing multi-view analysis on and displaying the online diagnosis index view data. In addition, the present application further relates to blockchain technology. The online diagnosis index view data can be stored in a blockchain node.

Description

Online consultation business monitoring method, device, equipment and storage medium

This application claims the priority of the Chinese patent application submitted to the China Patent Office on May 12, 2021, with the application number 202110514157.6, and the title of the invention is "online consultation service monitoring method, device, equipment and storage medium", the entire content of which is passed References are incorporated in the application.

technical field

The present application relates to the field of performance indicator monitoring, and in particular to a method, device, equipment and storage medium for online medical inquiry service monitoring.

Background technique

With the rapid development of the mobile Internet, the emergence of Internet medical care has broken the traditional way of medical treatment, allowing doctors to use the fragmented time in work and life to answer questions for patients; at the same time, it avoids long waiting time for patients and consultation time. short trouble. Major Internet companies have also deployed in the field of Internet medical care, but medical resources such as actual doctors are relatively scarce, which highlights the efficiency of Internet medical care.

The method of generating decision-making data in traditional offline report analysis is relatively lagging behind. The inventor realized that it is impossible to find out in time how long the user queues up to seriously affect the consultation experience and make adjustments. There is also a lack of input from monitoring multiple data sources, data cleaning, and monitoring data. The one-stop configuration system for display, early warning generation and sending, and the presentation of traditional isolated reports are also difficult to present the quality of key nodes of online consultation from a global perspective, resulting in low efficiency of online consultation and low efficiency of monitoring and handling.

Contents of the invention

The present application provides an online medical consultation service monitoring method, device, equipment, and storage medium, which are used to improve the efficiency of online medical consultation and monitoring and disposal, and enhance enterprise value.

The first aspect of the present application provides an online medical consultation service monitoring method, including: obtaining multiple online medical consultation service indicators and the relevant information of each online consultation service indicator corresponding to the medical consultation indicator, each online medical consultation service indicator corresponding to The associated information of the consultation indicators includes the monitoring indicator type, data source information, cleaning rules, alarm rules, and sending rules; the data source type and data source address are extracted from the data source information corresponding to each online consultation service indicator, and the The data source type, the data source address, and the cleaning rules corresponding to each online consultation service index perform data migration, data cleaning, and data aggregation processing on the data sources corresponding to each online consultation service index in order to obtain online consultation monitoring Index data set; according to the early warning rules corresponding to each online consultation business indicator, respectively perform index verification on the online consultation monitoring index data set, and obtain the verification result, when there is at least one abnormal monitoring index in the verification result data, set the corresponding warning information for each abnormal monitoring indicator data, and consume the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation business indicator; according to each The monitoring indicator type corresponding to the online consultation service indicator performs data encapsulation and combination on the online consultation monitoring indicator data set to obtain the online consultation indicator view data, and sends the online consultation indicator view data to the terminal, and through the terminal Analyze and display the online consultation indicator view data from multiple perspectives.

The second aspect of the present application provides an online consultation business monitoring device, including a memory, a processor, and computer-readable instructions stored on the memory and operable on the processor, and the processor executes the The computer-readable instructions implement the following steps: Obtain multiple online medical consultation service indicators and the consultation indicator related information corresponding to each online medical consultation service indicator, and the medical consultation indicator related information corresponding to each online medical consultation service indicator includes monitoring indicators Type, data source information, cleaning rules, alarm rules, and sending rules; extract the data source type and data source address from the data source information corresponding to each online consultation business index, and according to the data source type and the data source address The cleaning rules corresponding to each online consultation service index perform data migration, data cleaning, and data aggregation processing on the data sources corresponding to each online consultation service index in sequence to obtain the online consultation monitoring index data set; according to each online consultation The early warning rules corresponding to the diagnosis business indicators respectively perform index verification on the online consultation monitoring index data set to obtain the verification results. When there is at least one abnormal monitoring index data in the verification results, each abnormal monitoring index Set the corresponding warning information for the data, and consume the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation service indicator; according to the monitoring indicators corresponding to each online consultation service indicator Type data encapsulation and combination of the online consultation monitoring indicator data set to obtain the online consultation indicator view data, send the online consultation indicator view data to the terminal, and analyze and display the online consultation through multiple perspectives of the terminal. diagnostic metrics view data.

The third aspect of the present application provides a computer-readable storage medium, where computer instructions are stored in the computer-readable storage medium, and when the computer instructions are run on the computer, the computer is made to perform the following steps: obtaining multiple online query Diagnosis business indicators and the related information of each online consultation service indicator, and the related information of each online consultation service indicator includes monitoring indicator type, data source information, cleaning rules, alarm rules, and sending rules ; Extract the data source type and data source address from the data source information corresponding to each online consultation service index, and clean each The data sources corresponding to the online consultation service indicators are sequentially processed by data migration, data cleaning and data aggregation to obtain the online consultation monitoring indicator data set; according to the early warning rules corresponding to each online consultation service indicator, the online consultation Perform indicator verification on the monitoring index data set to obtain the verification result. When there is at least one abnormal monitoring index data in the verification result, set corresponding warning information for each abnormal monitoring index data, and pass the preset message queue Consume the warning information corresponding to each abnormal monitoring indicator data according to the sending rule corresponding to each online consultation service indicator; perform data encapsulation on the online consultation monitoring indicator data set according to the monitoring indicator type corresponding to each online consultation service indicator Combining to obtain the online medical inquiry index view data, sending the online medical inquiry index view data to the terminal, analyzing and displaying the online medical inquiry index view data through the terminal from multiple perspectives.

The fourth aspect of the present application provides an online medical consultation service monitoring device, wherein the online medical consultation service monitoring device includes: an acquisition module, which is used to obtain a plurality of online medical consultation service indicators and each online medical consultation service indicator corresponds to The related information of the consultation indicators, the related information of each online consultation service indicator includes the monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules; the processing module is used to collect data from each online consultation Extract the data source type and data source address from the data source information corresponding to the service indicator, and correspond to each online consultation service indicator according to the data source type, the data source address, and the cleaning rules corresponding to each online consultation service indicator. The data sources of the data are sequentially processed by data migration, data cleaning and data aggregation to obtain the online consultation monitoring index data set; the warning module is used to separately monitor the online consultation monitoring indicators according to the early warning rules corresponding to each online consultation service indicator Perform index verification on the data set to obtain the verification result. When there is at least one abnormal monitoring index data in the verification result, set corresponding warning information for each abnormal monitoring index data, and use the preset message queue according to each The sending rule corresponding to each online consultation service indicator consumes the warning information corresponding to each abnormal monitoring indicator data; the display module is used to analyze the online consultation monitoring indicator data set according to the monitoring indicator type corresponding to each online consultation service indicator Perform data encapsulation and combination to obtain online medical inquiry index view data, send the online medical inquiry index view data to the terminal, analyze and display the online medical inquiry index view data through the terminal from multiple perspectives.

In the technical solution provided by this application, multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator are obtained, and the consultation indicator related information corresponding to each online consultation service indicator includes the monitoring indicator type , data source information, cleaning rules, alarm rules, and sending rules; extract the data source type and data source address from the data source information corresponding to each online consultation service indicator, according to the data source type, the data source address and The cleaning rules corresponding to each online consultation service index perform data migration, data cleaning, and data aggregation processing on the data sources corresponding to each online consultation service index in sequence to obtain the online consultation monitoring index data set; according to each online consultation The early warning rules corresponding to the business indicators perform index verification on the online consultation monitoring index data set to obtain the verification results. When there is at least one abnormal monitoring index data in the verification results, each abnormal monitoring index data Set the corresponding warning information, and consume the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation service indicator; according to the monitoring indicator type corresponding to each online consultation service indicator Perform data encapsulation and combination on the online consultation monitoring indicator data set to obtain online consultation indicator view data, send the online consultation indicator view data to the terminal, analyze and display the online consultation through multiple perspectives of the terminal Metric view data. In the embodiment of the present application, data migration, data cleaning, and data aggregation are sequentially performed on the data source according to the data source type, data source address, and cleaning rules to obtain an online consultation monitoring index data set; online consultation monitoring is performed according to the early warning rules The indicator data set performs indicator verification, and the warning information is consumed according to the sending rules through the preset message queue; the online consultation monitoring indicator data set is packaged and combined according to the monitoring indicator type, and the online consultation indicator view data is obtained. Through the multi-view of the terminal Analyze and display online consultation indicator view data. By monitoring the data of various business indicators in the consultation process, the rational allocation of resources is realized, the efficiency of online consultation and monitoring and disposal is improved, and the value of the enterprise is enhanced.

Description of drawings

Fig. 1 is a schematic diagram of an embodiment of an online consultation business monitoring method in the embodiment of the present application;

Fig. 2 is the schematic diagram of another embodiment of the online consultation business monitoring method in the embodiment of the present application;

FIG. 3 is a schematic diagram of an embodiment of an online medical consultation service monitoring device in the embodiment of the present application;

FIG. 4 is a schematic diagram of another embodiment of an online consultation service monitoring device in the embodiment of the present application;

Fig. 5 is a schematic diagram of an embodiment of an online medical consultation service monitoring device in the embodiment of the present application.

Detailed ways

The embodiment of the present application provides an online consultation business monitoring method, device, equipment, and storage medium, which are used to monitor various business index data in the consultation process, realize reasonable allocation of resources, and improve the efficiency and efficiency of online consultation. Monitor disposal efficiency and enhance enterprise value.

The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the term "comprising" or "having" and any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to those explicitly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

For ease of understanding, the following describes the specific process of the embodiment of the application, please refer to Figure 1, an embodiment of the online consultation service monitoring method in the embodiment of the application includes:

101. Obtain multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator, and the consultation indicator related information corresponding to each online consultation service indicator includes monitoring indicator type, data source information, cleaning rules, alert rules and sending rules.

Among them, multiple online consultation business indicators mainly include consultation indicators such as the number of main complaints submitted, the number of consultations, the duration of consultations, push drug information, the number of sales of drugs, the volume of drug transactions, and the total value. The consultation index association information corresponding to each online consultation service index may also include monitoring index description information, creation time, update time and operation type. The number of online consultation service indicators can be one or more, which is not limited here. There is a corresponding relationship between each online medical consultation service index and the associated information of the medical inquiry index. The monitoring indicator type is used to instruct the terminal to display the specific method of the online consultation service indicator. The data source information, cleaning rules, alarm rules and sending rules are all pre-configured according to the online consultation service requirements. The monitoring indicator type, data source information, cleaning The number of rules, alarm rules and sending rules can be one or more. One data source information corresponds to one cleaning rule, one alarm rule corresponds to one sending rule, and one sending rule corresponds to a preset contact group. Specifically, the server obtains the online consultation service index through the preset timing task, and traverses and reads the preset configuration data table according to the online consultation service index, and obtains multiple online consultation service indicators and each online consultation service indicator Corresponding consultation index association information, each online consultation service index corresponding consultation index association information includes monitoring index type, data source information, cleaning rules, alarm rules and sending rules.

It can be understood that the subject of execution of the present application may be an online medical consultation service monitoring device, and may also be a terminal or a server, which is not specifically limited here. The embodiment of the present application is described by taking the server as an execution subject as an example.

102. Extract the data source type and data source address from the data source information corresponding to each online consultation business indicator, and perform each online query according to the data source type, data source address, and cleaning rules corresponding to each online consultation service indicator. The data sources corresponding to the diagnosis business indicators are sequentially processed by data migration, data cleaning and data aggregation to obtain the online consultation monitoring indicator data set.

There is a one-to-one correspondence between the cleaning rules corresponding to each online medical consultation service index and the data sources corresponding to each online medical consultation service index. The data source corresponding to each online consultation service index is any one of the data source in Rome roma data source, message queue rocketmq data source and Kafka data source, that is, the data source (that is, the preset data source ) is diverse. Among them, the roma data source is used to store the database change data after synchronous analysis of the binary log file binlog in the relational database mysql of the online consultation service, the rocketmq data source is used to store the data with a self-defined structure of the online consultation service, and the kafka data source is used for It is used to store online consultation data of kafka type. Specifically, the server extracts the data source type and data source address from the data source information, and connects the data source corresponding to each online consultation service indicator through the preset cleaning component according to the data source type and data source address, and obtains the connection result; When the connection result is that the connection is successful, the server reads the online consultation data one by one from the data source corresponding to each online consultation service indicator, and sequentially sorts the online consultation data according to the cleaning rules corresponding to each online consultation service indicator. Segmentation and field aggregation processing to obtain the online consultation monitoring index data set. The preset cleaning components include data pipeline data-pipeline and real-time streaming data processing framework storm. For example, the server connects to the roma data source or rocketmq data source through the data-pipeline, and the server performs data migration and data cleaning on the roma data source or rocketmq data source in accordance with the cleaning rules corresponding to the marked online consultation business indicators through incremental data collection. Obtain the Prometheus indicator data (belonging to the first monitoring indicator data set); the server is connected to the kafka data source through storm, and the server aggregates the Kafka data according to the preset time length to calculate each online consultation service indicator, and the server follows the The cleaning rule corresponding to each online consultation service indicator cleans and calculates each online consultation service indicator and sends it to the data-pipeline to obtain prometheus indicator data (belonging to the second monitoring indicator data set). Among them, the prometheus indicator data includes indicator name and indicator value.

103. According to the early warning rules corresponding to each online consultation service indicator, perform index verification on the online consultation monitoring index data set to obtain the verification result. When there is at least one abnormal monitoring index data in the verification result, each The corresponding warning information is set for the abnormal monitoring index data, and the warning information corresponding to each abnormal monitoring index data is consumed through the preset message queue according to the sending rules corresponding to each online consultation service index.

Wherein, there may be one or more early warning rules for each online consultation service index, which is not specifically limited here. In this embodiment, an alarm rule corresponding to each online consultation service index is taken as an example for illustration. Specifically, the server uses the prometheus component to perform indicator verification on the online consultation monitoring indicator data set according to the early warning rules corresponding to each online consultation service indicator, and obtains the verification results. For example, the server checks each online consultation monitoring indicator data Whether the warning threshold has been reached. Then, when there is at least one abnormal monitoring indicator data in the verification result, the server sets corresponding warning information for each abnormal monitoring indicator data, and sends the warning information to the preset message queue. The sending method in the sending rule corresponding to the diagnosis service index and the warning information corresponding to each abnormal monitoring index data in the contact group consumption message queue. The sending method includes WeChat, SMS or email. Each online consultation business index can have Multiple alert rules. The server can generate alert rules under a preset file directory (for example, prometheus/etc/prometheus/rules.d/).

104. According to the monitoring indicator type corresponding to each online consultation business indicator, the online consultation monitoring indicator data set is data encapsulated and combined to obtain the online consultation indicator view data, and the online consultation indicator view data is sent to the terminal. Perspective analysis and display of online consultation indicator view data.

Among them, a monitoring indicator can have multiple display graphs, that is, the presentation of online consultation indicator view data displays minute-level data from different perspectives, which can include the general summary board of the consultation, the distribution board of the consultation department, and the GMV ranking of the transaction amount Kanban (that is, the ranking Kanban of the consultation department), etc., different roles focus on different views. Visualize the index fluctuations and changing trends corresponding to the online consultation index view data, and present problems in the online consultation process in a timely manner; monitor business indicators from different views and judge business quality, so as to locate the direction of service quality improvement and improve the enterprise value. For example, if the monitoring indicator type is a counting type counter, the corresponding online consultation indicator view data is the order quantity or consultation order quantity of the mall; the monitoring indicator type is a histogram type, which is used to indicate the sample distribution and the total number of indicators and other information, for example , the amount of doctors' replies in 5 minutes or the length of the user's queue, etc., the default interval of the histogram type is {0.005, 0.01, 0.025, 0.05, 0.075, 0.1, 0.25, 0.5, 0.75, 1, 2.5, 5, 7.5, 10}.

Further, the server stores the online medical inquiry index view data in the blockchain database, which is not limited here.

In the embodiment of the present application, data migration, data cleaning, and data aggregation are sequentially performed on the data source according to the data source type, data source address, and cleaning rules to obtain an online consultation monitoring index data set; online consultation monitoring is performed according to the early warning rules The indicator data set performs indicator verification, and the warning information is consumed according to the sending rules through the preset message queue; the online consultation monitoring indicator data set is packaged and combined according to the monitoring indicator type, and the online consultation indicator view data is obtained. Through the multi-view of the terminal Analyze and display online consultation indicator view data. By monitoring the data of various business indicators in the consultation process, the rational allocation of resources is realized, the efficiency of online consultation and monitoring and disposal is improved, and the value of the enterprise is enhanced. This solution can be applied in the field of smart medical care, thereby promoting the construction of smart cities.

Please refer to Fig. 2, another embodiment of the online consultation business monitoring method in the embodiment of the present application includes:

201. Obtain multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator, and the consultation indicator related information corresponding to each online consultation service indicator includes monitoring indicator type, data source information, cleaning rules, alert rules and sending rules.

Among them, the name of each online consultation service indicator is an abstraction of the key nodes that affect user experience and enterprise value in a consultation process cycle. There is a one-to-one correspondence between the name of each online consultation service indicator and the unique identifier of each online consultation service indicator. The unique identifier of each online consultation service indicator is globally unique. For example, the name of the target online consultation business indicator is tc_order, which is the order monitor of the mall. The server queries the preset business monitoring data table monitor_business, and obtains the unique business_id of the target online consultation business indicator as 1001. Optionally, the server queries the names of multiple online consultation service indicators from the preset indicator index table, and the server reads the preset service monitoring data table according to the names of the multiple online consultation service indicators to obtain multiple online consultation service indicators. Each online consultation service indicator has a unique identifier; the server queries the preset configuration data table according to the unique identifier of each online consultation service indicator, and obtains the consultation indicator association corresponding to each online consultation service indicator Information, the associated information of each online consultation service index corresponding to the consultation index includes monitoring index type, data source information, cleaning rules, alarm rules and sending rules; The related information of the consultation index corresponding to the index is stored in the preset memory database.

It should be noted that the preset configuration data table includes the preset business monitoring data source configuration table, the preset business monitoring filtering grouping rule configuration table, the preset business monitoring alarm rule configuration table and the preset business monitoring alarm sending Rule configuration table. For example, the server queries the preset business monitoring filter grouping rule configuration table monitor_business_filter_collection_rule according to the unique identifier business_id of each online consultation service indicator, and obtains the target data source ID and cleaning rules. The cleaning rules mainly include filter grouping rule name filter_collection_rule_name, filtering grouping rule Content filter_collection_rule, parsing type prase_type, delimiter delimiter, custom script corresponding to monitoring indicator type (that is, custom filter script) and numerical expression corresponding to monitoring indicator type (that is, field filter expression). Next, the server queries the preset business monitoring data source configuration table monitor_business_data_source according to the unique identifier business_id of each online consultation service index and the target data source identifier to obtain data source information. The data source information mainly includes the data source name data_source_name, data source Type (for example, 0 means roma data source, 1 means message queue rocketmq data source, 2 means Kafka data source), data source topic topic, data source tag, data source address hosts and other fields. Then the server queries the preset business monitoring alarm rule table monitor_business_warn_alarm_rule according to the unique business_id of each online consultation business indicator, and obtains the alarm rule. The alarm rule mainly includes the alarm rule name alarm_name, the alarm rule identifier alarm_id, the alarm interval alarm_interval and the content of the alarm rule alarm_rules and other data. Finally, the server jointly retrieves the preset business monitoring alarm sending rule configuration table monitor_business_warn_alarm_send_rule through the unique identifier business_id of each online consultation service index and the alarm rule identifier alarm_id to obtain the sending rule. The sending rule includes sending content send_content, the latest sending time last_send_time, sending Data such as mode (for example, 0 is SMS, 1 is WeChat) and the identification user_group_id of the contact group. Each member of the contact group corresponding to the monitoring indicator has the authority to view and modify multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator.

Before step 201, optionally, receive the online medical consultation service index configuration request sent by the terminal, and respectively configure the monitoring index type, data source information, and cleaning rules corresponding to each online medical consultation service index according to the online medical consultation service index configuration request , alarm rules and sending rules; through the preset synchronization task, the preset data source and the monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules corresponding to each online consultation service indicator are synchronized regularly. Increased the configuration flexibility and diversity of data sources and data rules of each indicator.

202. Extract the data source type and data source address corresponding to each online medical consultation service indicator from the data source information corresponding to each online medical consultation service indicator.

For example, the data source type 0 corresponding to each online consultation service indicator indicates the Roman data source, each online consultation service indicator corresponds to a data source type 1, and each online consultation service indicator corresponds to a data source of rocketmq, and each online consultation service indicator corresponds to a data source Type 2 means Kafka data source. The data source type corresponding to each online consultation service index can also be composed of other character strings, which are not limited here.

203. When the data source type is a Roman data source or a message queue data source, extract the online consultation data to be processed from the Roman data source or message queue data source through the data pipeline according to the preset data subject and data source address, and Update the pending online consultation data to the preset memory database.

Among them, the data pipeline data-pipeline can also realize data conversion during the process of data migration. The data-pipeline regularly queries the rocketmq data source or roma data source through the server to provide a hypertext transfer protocol (HTTP) interface, and compares it with the cached data in the memory database. If the data in the rocketmq data source is different from the preset If the cached data in the in-memory database is inconsistent, the cached data in the in-memory database is added, updated or deleted to obtain the online consultation data to be processed.

204. Perform a data cleaning operation on the online medical consultation data to be processed according to the cleaning rules corresponding to each online medical consultation service indicator, to obtain the first monitoring indicator data set.

Specifically, the server splits a single piece of online consultation data in the data source in the memory using the pre-configured data segmentation method in the cleaning rule (that is, the cleaning rule corresponding to each online consultation service indicator), and obtains multiple indicator fields. The server aggregates multiple indicator fields according to the target indicator field in the cleaning rule (for example, the histogram value expression in the histogram is the difference between the end time and the start time end_time-start_time) or a custom development language groovy script (for example, the histogram value is from Define the script test.groovy) to calculate, obtain the index value corresponding to each online consultation service index, and perform data combination with the name of each online consultation service index to obtain the first monitoring index data set.

Optionally, the server extracts the parsing type corresponding to each online consultation service indicator, the field filter expression corresponding to each online consultation service indicator, and each online consultation service indicator from the cleaning rules corresponding to each online consultation service indicator. A custom filter script corresponding to the business indicator; the server performs field segmentation processing on the online consultation data to be processed according to the analysis type corresponding to each online consultation service indicator, and obtains multiple indicator fields; if the field corresponding to each online consultation service indicator If the filter expression is not empty, the server aggregates and calculates multiple index fields through the field filter expression corresponding to each online consultation service indicator to obtain the first monitoring indicator data set; if each online consultation service indicator corresponds to If the field filter expression is empty, the server aggregates and calculates multiple index fields through a custom filter script for each online consultation service index to obtain the first monitoring index data set.

Among them, the analysis type corresponding to each online consultation service index is 0, which is used to indicate that the data segmentation method is JS object numbered musical notation JSON, and the analysis type corresponding to each online consultation service indicator is 1, which is used to indicate that the data segmentation method is fixed Separation character (for example, "\t"|"\001"). The filtering and grouping rule content corresponding to each online consultation service index (that is, the field filtering expression) includes an equal sign, an not equal sign, a containment sign, a containment sign, or a sign and sign, and the like. The numerical expression corresponding to each online consultation service index has a higher priority than the custom script corresponding to each online consultation service index. Take the consultation order as an example, the data source is roma, the data topic topic is consult_order_roma, the update method of the relational database mysql is insert or update, and the field filter expression is ${out_biz_type}=="88"&&${fig_prescription} in "2, 6". When the server has synchronized cleaning rules through the data-pipeline, the server connects to the roma data source whose topic is consult_order_roma, and deserializes it with a fixed roma object to obtain the name and value of the database field; the server traverses all database field names and The name of each field is set as key, the value of each field is value, and the hash table {"out_biz_type":88,"fig_prescription":2,"app_id":3,"location":4} is obtained. The server compares the filtering fields and retains the grouping fields to generate prometheus indicators. The server compares whether out_biz_type is equal to "88" and whether fig_prescription is equal to "2, 6", and then the server generates the first monitoring indicator data set as consult_tag{app_id="9225381", location="111"}1.0.

205. When the data source type is Kafka data source, through the real-time streaming data processing framework, each online consultation data is read from the Kafka data source according to the preset data subject and data source address, and each The cleaning rules corresponding to the online consultation service indicators perform time-period aggregation calculation and data cleaning processing on each online consultation data in turn to obtain the second monitoring indicator data set, and asynchronously transmit the second monitoring indicator data set to the data center through the message queue framework. pipeline.

It is understandable that the server periodically calls the HTTP interface incrementally to synchronize the Kafka data source through Storm, and the message queue framework Kafka and Storm can realize real-time streaming analysis of fast online consultation big data. When the data source type is the Kafka data source, the server connects to the Kafka data source through the real-time streaming data processing framework storm according to the preset data subject and data source address, obtains each online consultation data, and analyzes each online question The diagnostic data is aggregated and calculated according to the time period (for example, aggregated by the minute) and the cleaning rules corresponding to each online consultation service index are processed for data cleaning, and the business data to be migrated is obtained, and the server sends the business data to be migrated to the message queue framework , the server transmits the service data to be migrated to the data-pipeline through the message queue framework to obtain the second monitoring indicator data set.

206. In the data pipeline, assemble the first monitoring index data set and/or the second monitoring index data set into an online consultation monitoring index data set, and periodically store the online consultation monitoring index data set in a time series database.

Among them, the first monitoring indicator dataset and the second monitoring indicator dataset are Prometheus promethues indicators, and the time series database is prometheus-tsdb. Time-series databases are used to store online consultation monitoring index data sets to improve data writing efficiency.

207. According to the early warning rules corresponding to each online consultation business indicator, perform index verification on the online consultation monitoring index data set to obtain the verification result. When there is at least one abnormal monitoring index data in the verification result, each The corresponding warning information is set for the abnormal monitoring index data, and the warning information corresponding to each abnormal monitoring index data is consumed through the preset message queue according to the sending rules corresponding to each online consultation service index.

One alarm rule corresponds to one sending rule, and one sending rule manages one contact group. The preset early warning rules include threshold, average value, year-on-year value or ring value. For example, if the inquiry order is filled in as the hourly average value avg weekly year-on-year value decrease should be greater than or equal to 50%. The corresponding prometheus expression is as follows:

sum(floor(increase(tc_order_tag[1h])))by(metrics_type)/((sum(floor(increase(tc_order_tag[1h]offset 1d)))by(metrics_type)+sum(floor(increase(tc_order_tag[1h] offset 2d)))by(metrics_type)+sum(floor(increase(tc_order_tag[1h]offset 3d)))by(metrics_type)+sum(floor(increase(tc_order_tag[1h]offset 4d)))by(metrics_type)+ sum(floor(increase(tc_order_tag[1h]offset 5d)))by(metrics_type)+sum (floor(increase(tc_order_tag[1h]offset 6d)))by(metrics_type))/6)<0.5;

That is, the server regularly collects the index data of the consultation order, and calculates whether the index data of the consultation order triggers the threshold through the alarm rule expression. If the threshold (0.5 or 50%) is triggered, the warning information is sent through the message queue.

Optionally, the server extracts the alarm rule expression corresponding to each online consultation service indicator, the alarm rule name corresponding to each online consultation service indicator, and the The content of the alarm rules corresponding to the diagnostic service indicators; the server performs indicator verification on the online consultation monitoring indicator data set according to the alarm rule expression corresponding to each online consultation service indicator, and obtains the verification results; if the verification results are not as expected If the set target value is set, the server determines that there is at least one abnormal monitoring indicator data in the verification result; when there is at least one abnormal monitoring indicator data in the verification result, the server will Alarm rule content corresponding to each online consultation service indicator Set corresponding warning information for each abnormal monitoring indicator data; the server obtains the sending method corresponding to each online consultation service indicator from the sending rule corresponding to each online consultation service indicator The contact group corresponding to each online medical consultation service index, and send the warning information to the contact group corresponding to each online medical consultation service index through the preset message queue according to the sending method corresponding to each online medical consultation service index.

208. According to the monitoring indicator type corresponding to each online consultation service indicator, perform data encapsulation and combination on the online consultation monitoring indicator data set to obtain the online consultation indicator view data, and send the online consultation indicator view data to the terminal, through the terminal multiple Perspective analysis and display of online consultation indicator view data.

Optionally, the server determines the corresponding data combination rule according to the type of monitoring indicator corresponding to each online consultation service indicator, and the data combination rule corresponding to each online consultation service indicator performs data encapsulation and combination on the online consultation monitoring indicator data set , to obtain the online consultation index view data; the server sends the online consultation index view data to the terminal, and the terminal performs data analysis on the online consultation index view data according to the preset multi-view angle, and obtains the parsed online consultation index data, The preset multi-angle view includes the overall consultation summary board, the consultation department distribution board and the consultation department ranking board; the server draws and displays each online consultation in real time based on the analyzed online consultation index data on the terminal's preset page The change trend of business indicator data.

The online medical consultation service monitoring method in the embodiment of the present application is described above, and the online medical consultation service monitoring device in the present application embodiment is described below, please refer to Figure 3, an implementation of the online medical consultation service monitoring device in the embodiment of the present application Examples include:

The acquiring module 301 is configured to acquire a plurality of online consultation service indicators and the consultation indicator associated information corresponding to each online consultation service indicator, and the consultation indicator associated information corresponding to each online consultation service indicator includes monitoring indicator type, data Source information, cleaning rules, alarm rules and sending rules;

The processing module 302 is configured to extract the data source type and data source address from the data source information corresponding to each online medical consultation service index, and perform the cleaning according to the data source type, data source address, and each online medical consultation service index. The data source corresponding to each online consultation business indicator is sequentially processed by data migration, data cleaning and data aggregation to obtain the online consultation monitoring indicator data set;

The warning module 303 is used to perform index verification on the online medical consultation monitoring index data set according to the early warning rules corresponding to each online medical consultation service index, and obtain the verification result. When there is at least one abnormal monitoring index data in the verification result , setting corresponding warning information for each abnormal monitoring indicator data, and consuming the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation business indicator;

The display module 304 is configured to perform data encapsulation and combination on the online consultation monitoring indicator data set according to the monitoring indicator type corresponding to each online consultation service indicator, obtain the online consultation indicator view data, and send the online consultation indicator view data to the terminal , analyze and display the online consultation index view data through the terminal multi-view.

Further, the online consultation indicator view data is stored in the blockchain database, which is not limited here.

In the embodiment of the present application, data migration, data cleaning, and data aggregation are sequentially performed on the data source according to the data source type, data source address, and cleaning rules to obtain an online consultation monitoring index data set; online consultation monitoring is performed according to the early warning rules The indicator data set performs indicator verification, and the warning information is consumed according to the sending rules through the preset message queue; the online consultation monitoring indicator data set is packaged and combined according to the monitoring indicator type, and the online consultation indicator view data is obtained. Through the multi-view of the terminal Analyze and display online consultation indicator view data. By monitoring the data of various business indicators in the consultation process, the rational allocation of resources is realized, the efficiency of online consultation and monitoring and disposal is improved, and the value of the enterprise is enhanced.

Please refer to Fig. 4, another embodiment of the online consultation business monitoring device in the embodiment of the present application includes:

Optionally, the obtaining module 301 may also be specifically used for:

Query the names of multiple online consultation service indicators from the preset index index table, read the preset business monitoring data table according to the names of multiple online consultation service indicators, and obtain multiple online consultation service indicators, each Online consultation service indicators have a unique identifier;

According to the unique identification of each online consultation service index, the preset configuration data table is associated with the query, and the relevant information of each online consultation service index is obtained, and the corresponding information of each online consultation service index is obtained. Including monitoring indicator types, data source information, cleaning rules, alarm rules and sending rules;

Each online medical consultation service index and the consultation index association information corresponding to each online medical consultation service index are stored in a preset memory database.

Optionally, the processing module 302 may also include:

Extraction unit 3021, configured to extract the data source type and data source address corresponding to each online medical inquiry service index from the data source information corresponding to each online medical inquiry service index;

The first processing unit 3022 is configured to, when the type of the data source is a Roman data source or a message queue data source, through a data pipeline according to a preset data topic and the address of the data source, from the Roman data source or the Extract the online consultation data to be processed from the message queue data source, and update the online consultation data to be processed in the preset memory database;

The cleaning and aggregation unit 3023 is used to perform data cleaning and aggregation processing on the online medical consultation data to be processed according to the cleaning rules corresponding to each online medical consultation service indicator, so as to obtain the first monitoring indicator data set;

The second processing unit 3024 is configured to, when the data source type is a Kafka data source, use a real-time streaming data processing framework to obtain data from the Kafka data source according to a preset data topic and the data source address According to the cleaning rules corresponding to each online consultation business index, the online consultation data is sequentially aggregated and calculated by time period and data cleaning processing to obtain the second monitoring index data set, and pass the message queue The framework asynchronously transmits the second monitoring indicator data set to the data pipeline;

The assembling unit 3025 is configured to assemble the first monitoring indicator data set and/or the second monitoring indicator data set into an online consultation monitoring indicator data set in the data pipeline, and regularly compile the online consultation The monitoring indicator data set is stored in the time series database.

Optionally, the cleaning and aggregation unit 3023 can also be specifically used for:

Extract the analysis type corresponding to each online consultation service indicator, the field filter expression corresponding to each online consultation service indicator, and the self-contained data corresponding to each online consultation service indicator from the cleaning rules corresponding to each online consultation service indicator. Define filter script;

According to the analysis type corresponding to each online consultation service indicator, the field segmentation processing is performed on the online consultation data to be processed, and multiple indicator fields are obtained;

If the field filter expression corresponding to each online consultation service indicator is not null, then perform aggregation calculation on multiple indicator fields through the field filter expression corresponding to each online consultation service indicator to obtain the first monitoring indicator data set ;

If the field filtering expression corresponding to each online consultation service indicator is null, multiple indicator fields are aggregated and calculated through the custom filter script of each online consultation service indicator to obtain the first monitoring indicator data set.

Optionally, the warning module 303 can also be specifically used for:

Extract the alarm rule expression corresponding to each online consultation service indicator, the alarm rule name corresponding to each online consultation service indicator, and the corresponding Alarm rule content;

According to the alarm rule expression corresponding to each online consultation service indicator, the index verification is performed on the online consultation monitoring indicator data set, and the verification result is obtained;

If the verification result is not the preset target value, it is determined that there is at least one abnormal monitoring index data in the verification result;

When there is at least one abnormal monitoring index data in the verification result, according to the alarm rule name corresponding to each online consultation service index and the alarm rule content corresponding to each online consultation service index, set the corresponding alarm rule for each abnormal monitoring index data. warning message;

Obtain the sending method corresponding to each online consultation service indicator and the contact group corresponding to each online consultation service indicator from the sending rules corresponding to each online consultation service indicator, and use the preset message queue according to each online question According to the sending method corresponding to the consultation business indicators, the warning information is sent to the contact group corresponding to each online consultation business indicator.

Optionally, the display module 304 can also be specifically used for:

The corresponding data combination rules are determined according to the monitoring index type corresponding to each online consultation service indicator, and the data combination rules corresponding to each online consultation service indicator are respectively packaged and combined for the online consultation monitoring indicator data set to obtain the online consultation indicator view data;

Send the online consultation index view data to the terminal, and analyze the data of the online consultation index view through the terminal according to the preset multi-angle view to obtain the parsed online consultation index data. The preset multi-angle view includes the overall summary of the consultation Kanban, interrogation department distribution kanban and interrogation department ranking kanban;

On the preset page of the terminal, based on the parsed online medical consultation index data, the change trend of each online medical consultation service index data is drawn and displayed in real time.

Optionally, the online consultation business monitoring device also includes:

The configuration module 305 is configured to receive the online medical consultation service indicator configuration request sent by the terminal, and respectively configure the monitoring indicator type, data source information, cleaning rules, and alarm rules corresponding to each online medical consultation service indicator according to the online medical consultation service indicator configuration request and sending rules;

The synchronization module 306 is configured to periodically synchronize the preset data source and the monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules corresponding to each online consultation service indicator through a preset synchronization task.

The above Figures 3 and 4 describe in detail the online medical consultation service monitoring device in the embodiment of the present application from the perspective of modularization, and the following describes the online medical consultation service monitoring device in the embodiment of the present application in detail from the perspective of hardware processing.

Fig. 5 is a schematic structural diagram of an online medical consultation service monitoring device provided by an embodiment of the present application. The online medical consultation service monitoring device 500 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (for example, one or more processors) and memory 520, one or more storage media 530 for storing application programs 533 or data 532 (for example, one or more mass storage devices). Wherein, the memory 520 and the storage medium 530 may be temporary storage or persistent storage. The program stored in the storage medium 530 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations on the online consultation business monitoring device 500 . Furthermore, the processor 510 may be configured to communicate with the storage medium 530 , and execute a series of instruction operations in the storage medium 530 on the online consultation service monitoring device 500 .

The online consultation service monitoring device 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input and output interfaces 560, and/or, one or more operating systems 531, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art can understand that the structure of the online medical consultation service monitoring device shown in Figure 5 does not constitute a limitation to the online medical consultation service monitoring device, and may include more or less components than those shown in the illustration, or combine certain components , or different component arrangements.

The present application also provides a computer-readable storage medium. The computer-readable storage medium may be a non-volatile computer-readable storage medium. The computer-readable storage medium may also be a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium, and when the instructions are run on the computer, the computer is made to execute the steps of the online consultation business monitoring method.

The present application also provides an online medical consultation service monitoring device, the online medical consultation service monitoring device includes a memory and a processor, and instructions are stored in the memory, and when the instructions are executed by the processor, the processor executes the above-mentioned embodiments The steps in the online consultation service monitoring method.

Further, the computer-readable storage medium may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function, etc.; The data created using the node, etc.

The blockchain referred to in this application is a new application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain (Blockchain), essentially a decentralized database, is a series of data blocks associated with each other using cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify its Validity of information (anti-counterfeiting) and generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disc and other media that can store program codes. .

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still understand the foregoing The technical solutions described in each embodiment are modified, or some of the technical features are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the application.

Claims

An online medical consultation service monitoring method, wherein, the online medical consultation service monitoring method comprises:

Obtain multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator. The consultation indicator related information corresponding to each online consultation service indicator includes monitoring indicator type, data source information, cleaning rules, Alarm rules and sending rules;

Extract the data source type and data source address from the data source information corresponding to each online consultation service index, and perform each The data sources corresponding to the online consultation business indicators are sequentially processed by data migration, data cleaning and data aggregation to obtain the online consultation monitoring indicator data set;

According to the early warning rules corresponding to each online consultation service indicator, the online consultation monitoring indicator data set is respectively index verified to obtain the verification result. When there is at least one abnormal monitoring index data in the verification result, the Set the corresponding warning information for each abnormal monitoring indicator data, and consume the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation business indicator;

Perform data encapsulation and combination on the online consultation monitoring indicator data set according to the monitoring indicator type corresponding to each online consultation service indicator, obtain the online consultation indicator view data, send the online consultation indicator view data to the terminal, and pass The terminal analyzes and displays the online consultation indicator view data from multiple perspectives.
The online medical consultation service monitoring method according to claim 1, wherein said acquisition of a plurality of online medical consultation service indicators and each online medical consultation service indicator corresponding to the medical inquiry indicator associated information, each online medical inquiry service indicator corresponds to The associated information of the query indicators includes the monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules, including:

Querying the names of multiple online consultation service indicators from the preset index index table, reading the preset service monitoring data table according to the names of the multiple online consultation service indicators, and obtaining multiple online consultation service indicators, Each online consultation business indicator has a unique identifier;

According to the unique identification of each online medical inquiry service index, the preset configuration data table is associated and queried to obtain the relevant information of each online medical inquiry service index, and the corresponding medical inquiry index of each online medical inquiry service index Associated information includes monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules;

Each online medical consultation service index and the consultation index association information corresponding to each online medical consultation service index are stored in a preset memory database.
The online medical consultation service monitoring method according to claim 1, wherein said data source type and data source address are extracted from the data source information corresponding to each online medical consultation service index, according to said data source type, said The data source address and the cleaning rules corresponding to each online consultation service indicator perform data migration, data cleaning and data aggregation processing on the data source corresponding to each online consultation service indicator in sequence, and obtain the online consultation monitoring indicator data set, including:

Extract the data source type and data source address corresponding to each online medical consultation service indicator from the data source information corresponding to each online medical consultation service indicator;

When the data source type is a Roman data source or a message queue data source, extract data to be processed from the Roman data source or the message queue data source through the data pipeline according to the preset data subject and the data source address Online consultation data, and updating the online consultation data to be processed to a preset memory database;

According to the cleaning rules corresponding to each online medical consultation service index, perform data cleaning operation and aggregation processing on the online medical consultation data to be processed, and obtain the first monitoring index data set;

When the data source type is a Kafka data source, each online consultation data is read from the Kafka data source according to the preset data theme and the data source address through the real-time streaming data processing framework , according to the cleaning rules corresponding to each online consultation business indicator, the time period aggregation calculation and data cleaning processing are performed on each online consultation data in turn to obtain the second monitoring indicator data set, and the second monitoring indicator data set is obtained through the message queue framework. Data sets are transferred asynchronously to the data pipeline;

In the data pipeline, assemble the first monitoring index data set and/or the second monitoring index data set into an online consultation monitoring index data set, and regularly store the online consultation monitoring index data set in time series database.
The online medical consultation service monitoring method according to claim 3, wherein, according to the cleaning rules corresponding to each online medical consultation service indicator, data cleaning and aggregation processing are performed on the online medical consultation data to be processed to obtain the first Monitoring metrics datasets, including:

Extract the analysis type corresponding to each online consultation service indicator, the field filter expression corresponding to each online consultation service indicator, and the self-contained data corresponding to each online consultation service indicator from the cleaning rules corresponding to each online consultation service indicator. Define filter script;

Perform field segmentation processing on the online medical consultation data to be processed according to the analysis type corresponding to each online medical consultation service indicator, and obtain multiple indicator fields;

If the field filtering expression corresponding to each online medical consultation service index is not empty, then the multiple index fields are aggregated and calculated through the field filtering expression corresponding to each online medical consultation service index to obtain the first monitoring index data set;

If the field filtering expression corresponding to each online consultation service indicator is empty, then the multiple indicator fields are aggregated and calculated through the custom filter script of each online consultation service indicator to obtain the first monitoring indicator data set .
The online medical consultation service monitoring method according to claim 1, wherein, according to the early warning rules corresponding to each online medical consultation service indicator, index verification is performed on the online medical consultation monitoring index data set to obtain a verification result , when there is at least one abnormal monitoring index data in the verification result, set corresponding warning information for each abnormal monitoring index data, and consume according to the sending rules corresponding to each online consultation business index through the preset message queue The warning information corresponding to each abnormal monitoring indicator data, including:

Extract the alarm rule expression corresponding to each online consultation service indicator, the alarm rule name corresponding to each online consultation service indicator, and the corresponding Alarm rule content;

According to the alarm rule expression corresponding to each online consultation business indicator, index verification is performed on the online consultation monitoring index data set, and a verification result is obtained;

If the verification result is not the preset target value, it is determined that there is at least one abnormal monitoring index data in the verification result;

When there is at least one abnormal monitoring index data in the verification result, each abnormal monitoring index data is set according to the alarm rule name corresponding to each online consultation service index and the alarm rule content corresponding to each online consultation service index. corresponding warning message;

Obtain the sending method corresponding to each online consultation service indicator and the contact group corresponding to each online consultation service indicator from the sending rules corresponding to each online consultation service indicator, and use the preset message queue according to each online question According to the sending method corresponding to the consultation service index, the warning information is sent to the contact group corresponding to each online consultation service index.
The online medical consultation service monitoring method according to claim 1, wherein, according to the monitoring index type corresponding to each online medical consultation service index, the online medical consultation monitoring index data set is data encapsulated and combined to obtain an online medical consultation Index view data, sending the online medical inquiry index view data to the terminal, analyzing and displaying the online medical inquiry index view data through multiple perspectives of the terminal, including:

According to the monitoring index type corresponding to each online consultation service index, the corresponding data combination rule is determined, and the data combination rule corresponding to each online consultation service index performs data encapsulation and combination on the online consultation monitoring index data set to obtain the online Inquiry indicator view data;

Send the online medical inquiry index view data to the terminal, and use the terminal to perform data analysis on the online medical inquiry index view data according to preset multi-view angles to obtain the parsed online medical inquiry index data. The perspectives include the general summary board of the consultation, the distribution board of the consultation department and the ranking board of the consultation department;

On the preset page of the terminal, based on the analyzed online medical consultation index data, the changing trend of each online medical consultation service index data is drawn and displayed in real time.
According to the online medical consultation service monitoring method according to any one of claims 1-6, wherein, in the acquisition of multiple online medical consultation service indicators and the relevant information of each online medical consultation service indicator, each The related information of the consultation indicators corresponding to the online consultation service indicators includes the monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules. Before the online consultation service monitoring method, the online consultation service monitoring method also includes:

Receive the online medical consultation service index configuration request sent by the terminal, configure the monitoring index type, data source information, cleaning rules, alarm rules and sending rule;

Synchronize preset data sources and monitoring indicator types, data source information, cleaning rules, alarm rules and sending rules corresponding to each online consultation service indicator through preset synchronization tasks.
An online medical consultation service monitoring device, comprising a memory, a processor, and computer-readable instructions stored on the memory and operable on the processor, and the processor implements the following when executing the computer-readable instructions step:

Obtain multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator. The consultation indicator related information corresponding to each online consultation service indicator includes monitoring indicator type, data source information, cleaning rules, Alarm rules and sending rules;

Extract the data source type and data source address from the data source information corresponding to each online consultation service index, and perform each The data sources corresponding to the online consultation business indicators are sequentially processed by data migration, data cleaning and data aggregation to obtain the online consultation monitoring indicator data set;

According to the early warning rules corresponding to each online consultation service indicator, the online consultation monitoring indicator data set is respectively index verified to obtain the verification result. When there is at least one abnormal monitoring index data in the verification result, the Set the corresponding warning information for each abnormal monitoring indicator data, and consume the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation business indicator;

Perform data encapsulation and combination on the online consultation monitoring indicator data set according to the monitoring indicator type corresponding to each online consultation service indicator, obtain the online consultation indicator view data, send the online consultation indicator view data to the terminal, and pass The terminal analyzes and displays the online consultation indicator view data from multiple perspectives.
The online medical consultation service monitoring device according to claim 8, wherein said acquisition of a plurality of online medical consultation service indicators and the relevant information of each online medical consultation service indicator corresponds to each online medical consultation service indicator, and each online medical consultation service indicator corresponds to The associated information of the query indicators includes the monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules, including:

Querying the names of multiple online consultation service indicators from the preset index index table, reading the preset service monitoring data table according to the names of the multiple online consultation service indicators, and obtaining multiple online consultation service indicators, Each online consultation business indicator has a unique identifier;

According to the unique identification of each online medical inquiry service index, the preset configuration data table is associated and queried to obtain the relevant information of each online medical inquiry service index, and the corresponding medical inquiry index of each online medical inquiry service index Associated information includes monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules;

Each online medical consultation service index and the consultation index association information corresponding to each online medical consultation service index are stored in a preset memory database.
The online medical consultation service monitoring device according to claim 8, wherein said data source type and data source address are extracted from the data source information corresponding to each online medical consultation service indicator, according to said data source type, said The data source address and the cleaning rules corresponding to each online consultation service indicator perform data migration, data cleaning and data aggregation processing on the data source corresponding to each online consultation service indicator in sequence, and obtain the online consultation monitoring indicator data set, including:

Extract the data source type and data source address corresponding to each online medical consultation service indicator from the data source information corresponding to each online medical consultation service indicator;

When the data source type is a Roman data source or a message queue data source, extract data to be processed from the Roman data source or the message queue data source through the data pipeline according to the preset data subject and the data source address Online consultation data, and updating the online consultation data to be processed to a preset memory database;

According to the cleaning rules corresponding to each online medical consultation service index, perform data cleaning operation and aggregation processing on the online medical consultation data to be processed, and obtain the first monitoring index data set;

When the data source type is a Kafka data source, each online consultation data is read from the Kafka data source according to the preset data theme and the data source address through the real-time streaming data processing framework , according to the cleaning rules corresponding to each online consultation business indicator, the time period aggregation calculation and data cleaning processing are performed on each online consultation data in turn to obtain the second monitoring indicator data set, and the second monitoring indicator data set is obtained through the message queue framework. Data sets are transferred asynchronously to the data pipeline;

In the data pipeline, assemble the first monitoring index data set and/or the second monitoring index data set into an online consultation monitoring index data set, and regularly store the online consultation monitoring index data set in time series database.
The online medical consultation service monitoring device according to claim 10, wherein, according to the cleaning rules corresponding to each online medical consultation service index, data cleaning and aggregation processing are performed on the online medical consultation data to be processed to obtain the first Monitoring metrics datasets, including:

Extract the analysis type corresponding to each online consultation service indicator, the field filter expression corresponding to each online consultation service indicator, and the self-contained data corresponding to each online consultation service indicator from the cleaning rules corresponding to each online consultation service indicator. Define filter script;

Perform field segmentation processing on the online medical consultation data to be processed according to the analysis type corresponding to each online medical consultation service indicator, and obtain multiple indicator fields;

If the field filtering expression corresponding to each online medical consultation service index is not empty, then the multiple index fields are aggregated and calculated through the field filtering expression corresponding to each online medical consultation service index to obtain the first monitoring index data set;

If the field filtering expression corresponding to each online consultation service indicator is empty, then the multiple indicator fields are aggregated and calculated through the custom filter script of each online consultation service indicator to obtain the first monitoring indicator data set .
The online medical consultation service monitoring device according to claim 8, wherein, according to the early warning rules corresponding to each online medical consultation service indicator, index verification is performed on the online medical consultation monitoring index data set, and the verification result is obtained , when there is at least one abnormal monitoring index data in the verification result, set corresponding warning information for each abnormal monitoring index data, and consume according to the sending rules corresponding to each online consultation business index through the preset message queue The warning information corresponding to each abnormal monitoring indicator data, including:

Extract the alarm rule expression corresponding to each online consultation service indicator, the alarm rule name corresponding to each online consultation service indicator, and the corresponding Alarm rule content;

According to the alarm rule expression corresponding to each online consultation business indicator, index verification is performed on the online consultation monitoring index data set, and a verification result is obtained;

If the verification result is not the preset target value, it is determined that there is at least one abnormal monitoring index data in the verification result;

When there is at least one abnormal monitoring index data in the verification result, each abnormal monitoring index data is set according to the alarm rule name corresponding to each online consultation service index and the alarm rule content corresponding to each online consultation service index. corresponding warning message;

Obtain the sending method corresponding to each online consultation service indicator and the contact group corresponding to each online consultation service indicator from the sending rules corresponding to each online consultation service indicator, and use the preset message queue according to each online question According to the sending method corresponding to the consultation service index, the warning information is sent to the contact group corresponding to each online consultation service index.
The online medical consultation service monitoring device according to claim 8, wherein, according to the monitoring indicator type corresponding to each online consultation service indicator, the online consultation monitoring index data set is packaged and combined to obtain an online consultation Index view data, sending the online medical inquiry index view data to the terminal, analyzing and displaying the online medical inquiry index view data through multiple perspectives of the terminal, including:

According to the monitoring index type corresponding to each online consultation service index, the corresponding data combination rule is determined, and the data combination rule corresponding to each online consultation service index performs data encapsulation and combination on the online consultation monitoring index data set to obtain the online Inquiry indicator view data;

Send the online medical inquiry index view data to the terminal, and use the terminal to perform data analysis on the online medical inquiry index view data according to preset multi-view angles to obtain the parsed online medical inquiry index data. The perspectives include the general summary board of the consultation, the distribution board of the consultation department and the ranking board of the consultation department;

On the preset page of the terminal, based on the analyzed online medical consultation index data, the changing trend of each online medical consultation service index data is drawn and displayed in real time.
The online medical consultation service monitoring device according to any one of claims 8-13, wherein, in the acquisition of a plurality of online medical consultation service indicators and the medical inquiry indicator association information corresponding to each online medical consultation service indicator, each The related information of the consultation indicators corresponding to the online consultation service indicators includes the monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules. Before the online consultation service monitoring method, the online consultation service monitoring method also includes:

Receive the online medical consultation service index configuration request sent by the terminal, configure the monitoring index type, data source information, cleaning rules, alarm rules and sending rule;

Synchronize preset data sources and monitoring indicator types, data source information, cleaning rules, alarm rules and sending rules corresponding to each online consultation service indicator through preset synchronization tasks.
A computer-readable storage medium, wherein computer instructions are stored in the computer-readable storage medium, and when the computer instructions are run on the computer, the computer is made to perform the following steps:

Obtain multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator. The consultation indicator related information corresponding to each online consultation service indicator includes monitoring indicator type, data source information, cleaning rules, Alarm rules and sending rules;

Extract the data source type and data source address from the data source information corresponding to each online consultation service index, and perform each The data sources corresponding to the online consultation business indicators are sequentially processed by data migration, data cleaning and data aggregation to obtain the online consultation monitoring indicator data set;

According to the early warning rules corresponding to each online consultation service indicator, the online consultation monitoring indicator data set is respectively index verified to obtain the verification result. When there is at least one abnormal monitoring index data in the verification result, the Set the corresponding warning information for each abnormal monitoring indicator data, and consume the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation business indicator;

Perform data encapsulation and combination on the online consultation monitoring indicator data set according to the monitoring indicator type corresponding to each online consultation service indicator, obtain the online consultation indicator view data, send the online consultation indicator view data to the terminal, and pass The terminal analyzes and displays the online consultation indicator view data from multiple perspectives.
The computer-readable storage medium according to claim 15, wherein said acquiring a plurality of online medical inquiry service indicators and each online medical inquiry service indicator corresponding to the medical inquiry indicator associated information, each online medical inquiry service indicator corresponding The interrogation index association information includes the monitoring index type, data source information, cleaning rules, alarm rules, and sending rules, including:

Querying the names of multiple online consultation service indicators from the preset index index table, reading the preset service monitoring data table according to the names of the multiple online consultation service indicators, and obtaining multiple online consultation service indicators, Each online consultation business indicator has a unique identifier;

According to the unique identification of each online medical inquiry service index, the preset configuration data table is associated and queried to obtain the relevant information of each online medical inquiry service index, and the corresponding medical inquiry index of each online medical inquiry service index Associated information includes monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules;

Each online medical consultation service index and the consultation index association information corresponding to each online medical consultation service index are stored in a preset memory database.
The computer-readable storage medium according to claim 15, wherein the data source type and data source address are extracted from the data source information corresponding to each online consultation service indicator, according to the data source type, the data The source address and the cleaning rules corresponding to each online consultation service indicator perform data migration, data cleaning and data aggregation processing on the data sources corresponding to each online consultation service indicator in sequence, and obtain the online consultation monitoring indicator data set, including:

Extract the data source type and data source address corresponding to each online medical consultation service indicator from the data source information corresponding to each online medical consultation service indicator;

When the data source type is a Roman data source or a message queue data source, extract data to be processed from the Roman data source or the message queue data source through the data pipeline according to the preset data subject and the data source address Online consultation data, and updating the online consultation data to be processed to a preset memory database;

According to the cleaning rules corresponding to each online medical consultation service index, perform data cleaning operation and aggregation processing on the online medical consultation data to be processed, and obtain the first monitoring index data set;

When the data source type is a Kafka data source, each online consultation data is read from the Kafka data source according to the preset data theme and the data source address through the real-time streaming data processing framework , according to the cleaning rules corresponding to each online consultation business indicator, the time period aggregation calculation and data cleaning processing are performed on each online consultation data in turn to obtain the second monitoring indicator data set, and the second monitoring indicator data set is obtained through the message queue framework. Data sets are transferred asynchronously to the data pipeline;

In the data pipeline, assemble the first monitoring index data set and/or the second monitoring index data set into an online consultation monitoring index data set, and regularly store the online consultation monitoring index data set in time series database.
The computer-readable storage medium according to claim 17, wherein, according to the cleaning rules corresponding to each online medical consultation service index, the data cleaning operation and aggregation processing are performed on the online medical consultation data to be processed to obtain the first monitoring Metric datasets, including:

Extract the analysis type corresponding to each online consultation service indicator, the field filter expression corresponding to each online consultation service indicator, and the self-contained data corresponding to each online consultation service indicator from the cleaning rules corresponding to each online consultation service indicator. Define filter script;

Perform field segmentation processing on the online medical consultation data to be processed according to the analysis type corresponding to each online medical consultation service indicator, and obtain multiple indicator fields;

If the field filtering expression corresponding to each online medical consultation service index is not empty, then the multiple index fields are aggregated and calculated through the field filtering expression corresponding to each online medical consultation service index to obtain the first monitoring index data set;

If the field filtering expression corresponding to each online consultation service indicator is empty, then the multiple indicator fields are aggregated and calculated through the custom filter script of each online consultation service indicator to obtain the first monitoring indicator data set .
The computer-readable storage medium according to claim 15, wherein, according to the early warning rules corresponding to each online consultation business indicator, index verification is performed on the online consultation monitoring index data set to obtain a verification result, When there is at least one abnormal monitoring index data in the verification result, set corresponding warning information for each abnormal monitoring index data, and consume every Warning information corresponding to abnormal monitoring indicator data, including:

Extract the alarm rule expression corresponding to each online consultation service indicator, the alarm rule name corresponding to each online consultation service indicator, and the corresponding Alarm rule content;

According to the alarm rule expression corresponding to each online medical consultation service index, the online medical consultation monitoring index data set is respectively subjected to index verification, and the verification result is obtained;

If the verification result is not the preset target value, it is determined that there is at least one abnormal monitoring index data in the verification result;

When there is at least one abnormal monitoring index data in the verification result, each abnormal monitoring index data is set according to the alarm rule name corresponding to each online consultation service index and the alarm rule content corresponding to each online consultation service index. corresponding warning message;

Obtain the sending method corresponding to each online consultation service indicator and the contact group corresponding to each online consultation service indicator from the sending rules corresponding to each online consultation service indicator, and use the preset message queue according to each online question According to the sending method corresponding to the consultation service index, the warning information is sent to the contact group corresponding to each online consultation service index.
An online medical consultation service monitoring device, wherein the online medical consultation service monitoring device comprises:

The acquisition module is used to acquire multiple online consultation service indicators and the consultation indicator related information corresponding to each online consultation service indicator, and the consultation indicator related information corresponding to each online consultation service indicator includes monitoring indicator type, data source information, cleaning rules, alarm rules and sending rules;

A processing module, configured to extract a data source type and a data source address from the data source information corresponding to each online medical consultation service index, and extract the data source type and data source address according to the data source type, the data source address, and each online medical consultation service index. The cleaning rule performs data migration, data cleaning, and data aggregation processing on the data source corresponding to each online consultation business indicator in sequence to obtain the online consultation monitoring indicator data set;

The warning module is used to perform indicator verification on the online consultation monitoring indicator data set according to the early warning rules corresponding to each online consultation service indicator, and obtain the verification result. When there is at least one abnormal monitoring in the verification result For indicator data, set corresponding warning information for each abnormal monitoring indicator data, and consume the warning information corresponding to each abnormal monitoring indicator data through the preset message queue according to the sending rules corresponding to each online consultation business indicator;

The display module is configured to perform data encapsulation and combination on the online consultation monitoring indicator data set according to the monitoring indicator type corresponding to each online consultation service indicator, to obtain the online consultation indicator view data, and to store the online consultation indicator view data The data is sent to the terminal, and the online consultation index view data is analyzed and displayed from multiple perspectives of the terminal.